A Cervical Histopathology Image Clustering Approach Using Graph Based Features.
Chen LiZhijie HuHao ChenShiliang AiJinghua ZhangYong ZhangQian WangXiaoyan LiPublished in: SN Comput. Sci. (2021)
Keyphrases
- image features
- low level
- image content
- input image
- extracting features
- image data
- test images
- spatial information
- image retrieval
- single image
- image regions
- image pixels
- original images
- spatial distribution
- extracted features
- keypoints
- image analysis
- multiscale
- salient features
- feature representation
- region of interest
- image matching
- matching process
- invariant features
- high resolution
- grey level
- feature values
- feature extraction
- color features
- color histogram
- image description
- image collections
- feature set
- feature space
- clustering algorithm
- image set
- feature matching
- clustering method
- sample images
- image classification
- feature detectors
- k means
- textural features
- microscopy images
- confocal images
- multi views
- similar objects
- graph theoretic
- spatial relationships
- segmentation method
- image representation
- similarity measure
- image segmentation